Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …

Anchoring effect is the tendency to focus too heavily on one piece of information when
making decisions. In this paper, we present a novel, systematic study and resulting analyses …

We propose an approach to analyzing data in which texts are associated with spatial and
temporal references with the aim to understand how the text semantics vary over space and …

Sub‐national governments across the United States implement a variety of policies to
address large societal problems and needs. Many policies are picked up or adopted in other …

Conducting data analysis tasks rarely occur in isolation. Especially in intelligence analysis
scenarios where different experts contribute knowledge to a shared understanding …

This paper reports and describes VINCENT, a visual analytics system that is designed to
help public health stakeholders (ie, users) make sense of data from websites involved in the …

Data containing geospatial semantics, such as geotagged tweets, travel blogs, and crime
reports, associates natural language texts with geographical locations. This paper presents …

Community-level event (CLE) datasets, such as police reports of crime events, contain
abundant semantic information of event situations, and descriptions in a geospatial-temporal …

Cognitive biases have been shown to lead to faulty decision-making. Recent research has
demonstrated that the effect of cognitive biases, anchoring bias in particular, transfers to …

Sensemaking, the process of deriving meaning from data, is complex due to its non-linear
and open-ended nature. Communicating decision-making during such tasks is difficult …